Senior Engineer, Enterprise Platforms
Abnormal Security - Remote - USA
Posted May 4, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 7, 2026
- Salary
- $142K-$204K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
48% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Engineer, Enterprise Platforms Remote - USA About the Role The Senior Engineer, Enterprise Platforms builds and runs AI powered agents, copilots, and automations across identity, endpoints, SaaS, collaboration, network, and office IT. You turn policies, runbooks, and telemetry into reliable AI workflows that reduce manual work, improve security, and make it easier for employees to get things done. You understand code structures and connected systems, work closely with engineers on implementation, and treat AI and automation as first class, observable services. This role reflects Abnormal VOICE values. You move with velocity, design for long term ownership and governance, use data with intellectual honesty, stay close to customer needs, and aim for excellence in reliability and simplicity. What you will do - Design and ship AI agents and copilots for Enterprise Platforms that automate joiner mover leaver flows, access requests, troubleshooting, and governance reviews - Wrap existing runbooks and policies in AI powered workflows across internal tools, automations, and conversational interfaces - Build safe data and integration layers for AI using platform APIs, logs, and internal knowledge content, including retrieval augmented patterns where appropriate - Implement prompts, tools, and orchestration flows with clear guardrails, access controls, approvals, and audit trails so governance is built in - Add evaluation, logging, and monitoring so AI features can be tested, rolled out, and debugged like any other production service - Use AI and event driven patterns to improve lifecycle automation, device baselines, and deprovisioning while staying within security and compliance requirements - Create
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